Modern computing systems have become highly diverse in terms of their workloads, usage pattern, scale and optimization objective. Hence, even a highly-optimized “monolithic core” cannot simultaneously meet such diverse and often conflicting requirements. To address this challenge, asymmetric multicore processors have been proposed which feature cores of different types (e.g. big and LITTLE) in the same processor. Qualcomm Snapdragon 810, Samsung Exynos 5 Octa and Nvidia Tegra X1 are some examples of asymmetric multicores.

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In this Nvidia podcast, Bryan Catanzaro from Baidu describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. “AI gets better and better until it kind of disappears into the background,” says Catanzaro — NVIDIA’s head of applied deep learning research — in conversation with host Michael Copeland on this week’s edition of the new AI Podcast. “Once you stop noticing that it’s there because it works so well — that’s when it’s really landed.” [Read More...]

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